Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
API
Claude Code
Communication @ 6
Data Science @ 2
LLM @ 6
Machine Learning @ 2
Python @ 2
Security @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
As a member of the Applied AI team, you will serve as a pre-sales architect and trusted technical advisor to national security and defense agencies. You will help customers understand the value of Claude and develop strategies for integrating and deploying it within their technology stacks. The role combines deep technical expertise with customer-facing skills to architect innovative LLM solutions for complex mission challenges while maintaining high standards for safety and reliability.
You will work closely with Sales, Product, and Engineering teams to guide customers from technical discovery through evaluation and deployment. You will help customers understand Claude's capabilities, develop evaluation frameworks, and design scalable architectures that maximize the value of Anthropic's AI systems.
Responsibilities
- Partner with account executives to understand customer requirements and translate them into technical solutions aligned with business objectives and technical implementation.
- Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery and initial evaluation through deployment.
- Coordinate internally across multiple teams and stakeholders to drive customer success.
- Support customers building with Claude Code, the Claude API, and Claude for Enterprise.
- Create and deliver technical content tailored to different audiences, including technical deep dives for engineering and development teams and business-value discussions with executives.
- Guide technical architecture decisions and help customers integrate Claude into their existing technology stacks.
- Help customers develop evaluation frameworks to measure Claude's performance for specific use cases.
- Identify common integration patterns and contribute insights to Product and Engineering teams.
- Travel frequently to customer sites for workshops, technical deep dives, and relationship building.
- Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns.
Requirements
- U.S. citizenship and an active TS/SCI security clearance due to U.S. Government contract requirements.
- Prior experience working with U.S. national security defense and/or intelligence agencies.
- Five or more years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager.
- Experience navigating complex buying cycles involving multiple stakeholders.
- Exceptional ability to build relationships and communicate technical concepts to diverse stakeholders, including C-suite executives and engineering and IT teams.
- Strong technical communication skills, including the ability to translate customer requirements between technical and business stakeholders.
- Experience designing scalable cloud architectures and integrating with enterprise systems.
- Familiarity with Python.
- Familiarity with common LLM frameworks and tools, or a background in machine learning or data science.
- Ability to collaborate across organizations, work through trade-offs, and balance competing priorities.
- A willingness to teach, mentor, and help others succeed.
- Excellent communication and interpersonal skills, with the ability to explain complex topics clearly to diverse external and internal stakeholders.
- Passion for using technology safely and beneficially to advance safe AI systems.
- A bachelor's degree or equivalent combination of education, training, and experience. The required field of study is one relevant to the role, as demonstrated through coursework, training, or professional experience.
Compensation
The annual compensation range is $275,000–$315,000 USD. For sales roles, this range represents on-target earnings, including target sales commissions or bonuses and annual base salary.
Benefits and Logistics
- Hybrid work policy requiring staff to be in one of Anthropic's offices at least 25% of the time; some roles may require more office time.
- Visa sponsorship is available, although sponsorship cannot be successfully provided for every role and candidate.
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Office space for collaboration.